Scrwed's picture
Upload first PPO trained agent
e2ca5d0
{
"policy_class": {
":type:": "<class 'abc.ABCMeta'>",
":serialized:": "gAWVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==",
"__module__": "stable_baselines3.common.policies",
"__doc__": "\n Policy class for actor-critic algorithms (has both policy and value prediction).\n Used by A2C, PPO and the likes.\n\n :param observation_space: Observation space\n :param action_space: Action space\n :param lr_schedule: Learning rate schedule (could be constant)\n :param net_arch: The specification of the policy and value networks.\n :param activation_fn: Activation function\n :param ortho_init: Whether to use or not orthogonal initialization\n :param use_sde: Whether to use State Dependent Exploration or not\n :param log_std_init: Initial value for the log standard deviation\n :param full_std: Whether to use (n_features x n_actions) parameters\n for the std instead of only (n_features,) when using gSDE\n :param sde_net_arch: Network architecture for extracting features\n when using gSDE. If None, the latent features from the policy will be used.\n Pass an empty list to use the states as features.\n :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n a positive standard deviation (cf paper). It allows to keep variance\n above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n :param squash_output: Whether to squash the output using a tanh function,\n this allows to ensure boundaries when using gSDE.\n :param features_extractor_class: Features extractor to use.\n :param features_extractor_kwargs: Keyword arguments\n to pass to the features extractor.\n :param normalize_images: Whether to normalize images or not,\n dividing by 255.0 (True by default)\n :param optimizer_class: The optimizer to use,\n ``th.optim.Adam`` by default\n :param optimizer_kwargs: Additional keyword arguments,\n excluding the learning rate, to pass to the optimizer\n ",
"__init__": "<function ActorCriticPolicy.__init__ at 0x7f3a533ac700>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f3a533ac790>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f3a533ac820>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f3a533ac8b0>",
"_build": "<function ActorCriticPolicy._build at 0x7f3a533ac940>",
"forward": "<function ActorCriticPolicy.forward at 0x7f3a533ac9d0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f3a533aca60>",
"_predict": "<function ActorCriticPolicy._predict at 0x7f3a533acaf0>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f3a533acb80>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f3a533acc10>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f3a533acca0>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7f3a533a7870>"
},
"verbose": 1,
"policy_kwargs": {},
"observation_space": {
":type:": "<class 'gym.spaces.box.Box'>",
":serialized:": "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",
"dtype": "float32",
"_shape": [
8
],
"low": "[-inf -inf -inf -inf -inf -inf -inf -inf]",
"high": "[inf inf inf inf inf inf inf inf]",
"bounded_below": "[False False False False False False False False]",
"bounded_above": "[False False False False False False False False]",
"_np_random": null
},
"action_space": {
":type:": "<class 'gym.spaces.discrete.Discrete'>",
":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu",
"n": 4,
"_shape": [],
"dtype": "int64",
"_np_random": null
},
"n_envs": 16,
"num_timesteps": 1507328,
"_total_timesteps": 1500000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1670300961618117162,
"learning_rate": 0.0003,
"tensorboard_log": null,
"lr_schedule": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"_last_obs": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "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"
},
"_last_episode_starts": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="
},
"_last_original_obs": null,
"_episode_num": 0,
"use_sde": false,
"sde_sample_freq": -1,
"_current_progress_remaining": -0.004885333333333408,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "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"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 460,
"n_steps": 1024,
"gamma": 0.98,
"gae_lambda": 0.95,
"ent_coef": 0.0,
"vf_coef": 0.5,
"max_grad_norm": 0.5,
"batch_size": 64,
"n_epochs": 5,
"clip_range": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"clip_range_vf": null,
"normalize_advantage": true,
"target_kl": null
}